BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 37211604)

  • 21. Nomogram for predicting axillary lymph node pathological response in node-positive breast cancer patients after neoadjuvant chemotherapy.
    Wang W; Wang X; Liu J; Zhu Q; Wang X; Wang P
    Chin Med J (Engl); 2021 Dec; 135(3):333-340. PubMed ID: 35108228
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prognostic Nomogram for Prediction of Axillary Pathologic Complete Response After Neoadjuvant Chemotherapy in Cytologically Proven Node-Positive Breast Cancer.
    Kim JY; Park HS; Kim S; Ryu J; Park S; Kim SI
    Medicine (Baltimore); 2015 Oct; 94(43):e1720. PubMed ID: 26512562
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.
    Han L; Zhu Y; Liu Z; Yu T; He C; Jiang W; Kan Y; Dong D; Tian J; Luo Y
    Eur Radiol; 2019 Jul; 29(7):3820-3829. PubMed ID: 30701328
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Model Incorporating Axillary Tail Position on Mammography for Preoperative Prediction of Non-sentinel Lymph Node Metastasis in Patients with Initial cN+ Breast Cancer after Neoadjuvant Chemotherapy.
    Zhu T; Lin X; Zhang T; Li W; Gao H; Yang C; Ji F; Zhang Y; Zhang J; Pan W; Zhuang X; Shen B; Chen Y; Wang K
    Acad Radiol; 2022 Dec; 29(12):e271-e278. PubMed ID: 35504810
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Development of MRI-Based Deep Learning Signature for Prediction of Axillary Response After NAC in Breast Cancer.
    Zhang B; Yu Y; Mao Y; Wang H; Lv M; Su X; Wang Y; Li Z; Zhang Z; Bian T; Wang Q
    Acad Radiol; 2024 Mar; 31(3):800-811. PubMed ID: 37914627
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancer.
    Haraguchi T; Kobayashi Y; Hirahara D; Kobayashi T; Takaya E; Nagai MT; Tomita H; Okamoto J; Kanemaki Y; Tsugawa K
    J Xray Sci Technol; 2023; 31(3):627-640. PubMed ID: 37038802
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [Construction of a nomogram prediction model for pathological complete response (pCR) of ipsilateral supraclavicular lymph node after neoadjuvant chemotherapy for breast cancer with first diagnosis of ipsilateral supraclavicular lymph node metastasis].
    Lyu MH; Jiao DC; Wu JZ; Tian PQ; Ma YZ; Liu ZZ; Chen XC
    Zhonghua Zhong Liu Za Zhi; 2022 Feb; 44(2):160-166. PubMed ID: 35184460
    [No Abstract]   [Full Text] [Related]  

  • 28. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
    Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
    J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prediction of Axillary Lymph Node Metastatic Load of Breast Cancer Based on Ultrasound Deep Learning Radiomics Nomogram.
    Zhang H; Zhao T; Zhang S; Sun J; Zhang F; Li X; Ni X
    Technol Cancer Res Treat; 2023; 22():15330338231166218. PubMed ID: 36987661
    [No Abstract]   [Full Text] [Related]  

  • 30. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.
    Gao J; Zhong X; Li W; Li Q; Shao H; Wang Z; Dai Y; Ma H; Shi Y; Zhang H; Duan S; Zhang K; Yang P; Zhao F; Zhang H; Xie H; Mao N
    J Magn Reson Imaging; 2023 Jun; 57(6):1842-1853. PubMed ID: 36219519
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Optimized Radiomics Nomogram Based on Automated Breast Ultrasound System: A Potential Tool for Preoperative Prediction of Metastatic Lymph Node Burden in Breast Cancer.
    Li N; Song C; Huang X; Zhang H; Su J; Yang L; He J; Cui G
    Breast Cancer (Dove Med Press); 2023; 15():121-132. PubMed ID: 36776542
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predictive Factors for Nonsentinel Lymph Node Metastasis in Patients With Positive Sentinel Lymph Nodes After Neoadjuvant Chemotherapy: Nomogram for Predicting Nonsentinel Lymph Node Metastasis.
    Ryu JM; Lee SK; Kim JY; Yu J; Kim SW; Lee JE; Han SH; Jung YS; Nam SJ
    Clin Breast Cancer; 2017 Nov; 17(7):550-558. PubMed ID: 28454926
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
    Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
    Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.
    Liu Y; Li X; Zhu L; Zhao Z; Wang T; Zhang X; Cai B; Li L; Ma M; Ma X; Ming J
    Contrast Media Mol Imaging; 2022; 2022():6729473. PubMed ID: 36051932
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Non-invasive Assessment of Axillary Lymph Node Metastasis Risk in Early Invasive Breast Cancer Adopting Automated Breast Volume Scanning-Based Radiomics Nomogram: A Multicenter Study.
    Wang H; Yang XW; Chen F; Qin YY; Li XB; Ma SM; Lei JQ; Nan CL; Zhang WY; Chen W; Guo SL
    Ultrasound Med Biol; 2023 May; 49(5):1202-1211. PubMed ID: 36746744
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Ultrasound-based radiomics combined with immune status to predict sentinel lymph node metastasis in primary breast cancer.
    Zhao M; Zheng Y; Chu J; Liu Z; Dong F
    Sci Rep; 2023 Oct; 13(1):16918. PubMed ID: 37805562
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Clinical-Radiomics Model for Predicting Axillary Pathologic Complete Response in Breast Cancer With Axillary Lymph Node Metastases.
    Gan L; Ma M; Liu Y; Liu Q; Xin L; Cheng Y; Xu L; Qin N; Jiang Y; Zhang X; Wang X; Ye J
    Front Oncol; 2021; 11():786346. PubMed ID: 34993145
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 39. CT Radiomics for Predicting Pathological Complete Response of Axillary Lymph Nodes in Breast Cancer After Neoadjuvant Chemotherapy: A Prospective Study.
    Li YL; Wang LZ; Shi QL; He YJ; Li JF; Zhu HT; Wang TF; Li XT; Fan ZQ; Ouyang T; Sun YS
    Oncologist; 2023 Apr; 28(4):e183-e190. PubMed ID: 36802345
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients.
    Gao Y; Luo Y; Zhao C; Xiao M; Ma L; Li W; Qin J; Zhu Q; Jiang Y
    Eur Radiol; 2021 Feb; 31(2):928-937. PubMed ID: 32845388
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.